{"id":"W2360425439","doi":"10.1126/sciadv.1501258","title":"Broadband and chiral binary dielectric meta-holograms","year":2016,"lang":"en","type":"article","venue":"Science Advances","topic":"Metamaterials and Metasurfaces Applications","field":"Materials Science","cited_by":347,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Air Force Office of Scientific Research; Google; National Science Foundation","keywords":"Holography; Broadband; Optics; Achromatic lens; Binary number; Materials science; Phase (matter); Optoelectronics; Dispersion (optics); Dielectric; Computer science; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001086542,0.0001310435,0.0002452532,0.00008979425,0.0004239835,0.0001274292,0.0004195264,0.00002347167,0.0004471852],"category_scores_gemma":[0.0001329184,0.00006597267,0.0000405695,0.0005061103,0.001099285,0.001097732,0.000113136,0.00002527876,0.0001416411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001536024,"about_ca_system_score_gemma":0.00005287867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001126552,"about_ca_topic_score_gemma":0.000005722987,"domain_scores_codex":[0.9985066,0.00004336525,0.0002063767,0.0005214668,0.0003097062,0.0004125008],"domain_scores_gemma":[0.9992841,0.00008052799,0.0001155171,0.0003183154,0.00006720251,0.0001343219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000006159654,0.00001494898,0.0001172251,0.000004145708,0.00000432451,6.960949e-7,0.00002413113,0.000002921254,0.9779538,0.002017428,0.00002219328,0.01983206],"study_design_scores_gemma":[0.0001548741,0.00009669739,0.002266651,0.000005973988,0.00006958684,0.00001090215,0.00001828971,0.000005793271,0.9684204,0.005433524,0.02336781,0.0001494374],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920253,0.004992245,0.0007298379,0.0005947594,0.0003556994,0.0001714543,0.00001814041,0.00007506286,0.001037527],"genre_scores_gemma":[0.9915159,0.0005164618,0.0069953,0.0001025038,0.00004314533,0.00007302732,4.415353e-7,0.000006409185,0.0007467841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02334561,"threshold_uncertainty_score":0.4896365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02902321087183946,"score_gpt":0.295959157291557,"score_spread":0.2669359464197175,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}